Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C636532D3931912907BC2D8F4724B8D2251868DC7574F79A7BE63BAF9CFCB52612248 |
|
CONTENT
ssdeep
|
1536:Lrf9Q0eeZeeBKMAhpzyseuek57rl4pTeM0eHde4e1rS/tFA+oeee71XdeFRqsgHH:qf57rl4p1lN1wqP/gDcH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b234cfb238c3c9b8 |
|
VISUAL
aHash
|
c7c7c7c7c7e7e77f |
|
VISUAL
dHash
|
8d8d9d9d8d4d4dd4 |
|
VISUAL
wHash
|
c4c704c7c7bce724 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
8d8d9d9d8d4d4dd4,a636c58e3651c2c2,33b33329b4f4342e,192a67d5f0e9f161,9793931333271b2b |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 345 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)